ClinicalTrials.gov
public full text
Public Domain
Identification of Risk Factors and Construction of Prediction Model for Postoperative Intestinal Anastomotic Leakage in Ovarian Cancer
This study was a multicenter, retrospective cohort study. Although advancements in surgical techniques have mitigated the incidence of intestinal anastomotic fistula, complete avoidance remains elusive. Anastomotic leakage (AL) complications directly impinge on postoperative quality of life and pose life-threatening risks if inadequately managed. Given AL's adverse prognostic implications and the financial strain on patients' families, identifying its risk factors aids in perioperative risk assessment, enabling timely clinical decisions on interventions to enhance prognosis and curtail adverse outcomes and economic investments.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Neoadjuvant Chemoradiotherapy and Adjuvant Chemotherapy With 5-Fluorouracil and Oxaliplatin Versus 5-Fluorouracil Alone in Rectal Cancer#901768
- Early Prediction and Warning for Cardiotoxicity Due to Anthracycline-Based Breast Cancer Chemotherapy#1283139
- SALVOVAR: a pragmatic randomized phase III trial comparing the SALVage weekly dose-dense regimen to the standard 3-weekly regimen in patients with poor prognostic OVARian cancers#257523
- A Study to Examine Olaparib Maintenance Retreatment in Patients With Epithelial Ovarian Cancer.#880706
- Improving ovarian cancer risk assessment using a machine learning model developed on data from the Prostate Lung Colorectal Ovarian Cancer Screening Trial.#421253
Record · ID 1280280
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive